Sep 14, 2016 · The basic idea is to approximate a pixel value using the weighted mean of the other pixels which have similar structures (measured by the ...
The similar image patches should have similar underlying structures. Thus the matrix constructed from stacking the similar patches together has low rank.
Abstract. Although there are many effective methods for removing impulse noise in image restoration, there is still much room for improvement.
Sep 11, 2024 · This proposed model facilitates better results for blur kernel estimation through preserving the sharper color intermediate latent image, which ...
Abstract. The paper focuses on the Enhanced Augmented Lagrangian method with sparse regularization for image deblurring. The method suggested by.
A 3D GTV regularized low-rank matrix factorization model is proposed for denoising. An iterative algorithm based on ADMM is designed to solve the denoising ...
We propose in this paper a solution to the SR problem via simultaneous (global) low-rank and (local) total variation (TV) regularization.
Missing: Deblurring. | Show results with:Deblurring.
People also ask
What is low rank regularization?
Low Rank Regularization (LRR), in essence, involves introducing a low rank or approximately low rank assumption to target we aim to learn, which has achieved great success in many data analysis tasks. Over the last decade, much progress has been made in theories and applications.
What is deblurring in image processing?
Image deblurring is the task of processing the image to make it a better representation of the scene – sharper and more useful. Deblurring is model based, in contrast to image enhancement techniques used, e.g., in PhotoShop and movie restoration.
May 24, 2023 · In this paper, a novel variational model with box constraints is proposed to restore images corrupted by impulse noise. The proposed model is ...
Abstract— In recent years sparse representation model (SRM) based image deblurring approaches have shown promising image deblurring results.
May 27, 2023 · This paper proposes a new method for removing impulse noise that combines the nuclear norm and the detection l 0 TV model while considering the low-rank ...
In response to a legal request submitted to Google, we have removed 1 result(s) from this page. If you wish, you may read more about the request at LumenDatabase.org. |